A. Jankowska
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 2%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 12
- Acute Myeloid Leukemia Research 11
- Co-authors
- Jaroslaw P. Maciejewski (13 shared papers)Rebecca Ganetzky (3 shared papers)Yun Huang (3 shared papers)Anjana Rao (3 shared papers)Hideki Makishima (9 shared papers)Ramón V. Tiu (6 shared papers)Suneet Agarwal (1 shared paper)Edward D. Lamperti (1 shared paper)
- Journals
- Blood (10 papers)Fuel (5 papers)Polyhedron (4 papers)International Journal of Environmental Research and Public Health (2 papers)Carbon (2 papers)
- Partner nations
- PolandUnited StatesCanada
In The Last Decade
A. Jankowska
60 papers receiving 2.7k citations
A. Jankowska's Hit Papers
Peers
Comparison fields: 5 of 157
- Hematology 1.0k
- Genetics 552
- Molecular Biology 1.5k
- Fuel Technology 12
- Cancer Research 226
Countries citing papers authored by A. Jankowska
This map shows the geographic impact of A. Jankowska's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by A. Jankowska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Jankowska more than expected).
Fields of papers citing papers by A. Jankowska
This network shows the impact of papers produced by A. Jankowska. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by A. Jankowska. The network helps show where A. Jankowska may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Jankowska, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Impaired hydroxylation of 5-methylcytosine in myeloid cancers with mutant TET2 Hit paper breakdown → | 2010 | 993 |
| 2 | 2012 | 279 | |
| 3 | 2009 | 276 | |
| 4 | 2011 | 238 | |
| 5 | 2002 | 184 | |
| 6 | 2013 | 104 | |
| 7 | 2012 | 86 | |
| 8 | 2005 | 68 | |
| 9 | 1977 | 62 | |
| 10 | 2015 | 61 | |
| 11 | 2012 | 50 | |
| 12 | 2018 | 39 | |
| 13 | 1993 | 20 | |
| 14 | 2001 | 20 | |
| 15 | 1977 | 18 | |
| 16 | 1999 | 18 | |
| 17 | 2015 | 14 | |
| 18 | 2009 | 13 | |
| 19 | 2006 | 12 | |
| 20 | 1985 | 12 |
About A. Jankowska
A. Jankowska is a scholar working on Hematology, Materials Chemistry, Genetics, Clinical Psychology and Biomedical Engineering, having authored 64 papers that have together received 2.8k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), Thermochemical Biomass Conversion Processes (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Metal complexes synthesis and properties (5 papers), Zeolite Catalysis and Synthesis (5 papers), Magnetism in coordination complexes (4 papers), Family and Disability Support Research (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Hematology (1.0k citations), Genetics (552 citations), Molecular Biology (1.5k citations), Fuel Technology (12 citations) and Cancer Research (226 citations). A. Jankowska has collaborated with scholars based in Poland, United States and Canada. Frequent co-authors include Jaroslaw P. Maciejewski, Rebecca Ganetzky, Yun Huang, Anjana Rao, Hideki Makishima, Ramón V. Tiu, Suneet Agarwal, Edward D. Lamperti, Jungeun An and X. Shirley Liu. Their work appears in journals such as Blood, Fuel, Polyhedron, International Journal of Environmental Research and Public Health and Carbon.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.